A new approach to Statistical analysis of election results
Ivan H. Krykun

TL;DR
This paper introduces a novel statistical method for detecting election fraud by analyzing the ratio of two normal variables and comparing estimated parameters with theoretical values, demonstrated through a practical example.
Contribution
The paper presents a new statistical approach for election fraud detection based on ratio analysis and parameter estimation, offering an alternative to existing methods.
Findings
Effective detection of election anomalies demonstrated
Method applied successfully in a real-world example
Provides a statistical basis for election integrity assessment
Abstract
In this paper, a new method of detection of election fraud is proposed. This method is based on the calculation of the ratio of two standard normal random variables; estimation of parameters of obtained sample and comparison of these estimates with known theoretical values of parameters. Also in the paper, there is an example of the application of the method.
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Taxonomy
TopicsAdvanced Research in Systems and Signal Processing · Benford’s Law and Fraud Detection
